Skip to main content
Log in

Integration of multiscale entropy and BASED scale of electroencephalography after adrenocorticotropic hormone therapy predict relapse of infantile spasms

  • Original Article
  • Published:
World Journal of Pediatrics Aims and scope Submit manuscript

Abstract

Background

Even though adrenocorticotropic hormone (ACTH) demonstrated powerful efficacy in the initially successful treatment of infantile spasms (IS), nearly half of patients have experienced a relapse. We sought to investigate whether features of electroencephalogram (EEG) predict relapse in those IS patients without structural brain abnormalities.

Methods

We retrospectively reviewed data from children with IS who achieved initial response after ACTH treatment, along with EEG recorded within the last two days of treatment. The recurrence of epileptic spasms following treatment was tracked for 12 months. Subjects were categorized as either non-relapse or relapse groups. General clinical and EEG recordings were collected, burden of amplitudes and epileptiform discharges (BASED) score and multiscale entropy (MSE) were carefully explored for cross-group comparisons.

Results

Forty-one patients were enrolled in the study, of which 26 (63.4%) experienced a relapse. The BASED score was significantly higher in the relapse group. MSE in the non-relapse group was significantly lower than the relapse group in the γ band but higher in the lower frequency range (δ, θ, α). Sensitivity and specificity were 85.71% and 92.31%, respectively, when combining MSE in the δ/γ frequency of the occipital region, plus BASED score were used to distinguish relapse from non-relapse groups.

Conclusions

BASED score and MSE of EEG after ACTH treatment could be used to predict relapse for IS patients without brain structural abnormalities. Patients with BASED score ≥ 3, MSE increased in higher frequency, and decreased in lower frequency had a high risk of relapse.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Data availability

The data sets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  1. Riikonen R. Infantile spasms: outcome in clinical studies. Pediatr Neurol. 2020;108:54–64.

    Article  PubMed  Google Scholar 

  2. O’Callaghan FJK, Edwards SW, Alber FD, Cortina Borja M, Hancock E, Johnson AL, et al. Vigabatrin with hormonal treatment versus hormonal treatment alone (ICISS) for infantile spasms: 18-month outcomes of an open-label, randomised controlled trial. Lancet Child Adolesc Health. 2018;2:715–25.

    Article  PubMed  Google Scholar 

  3. Granström ML, Gaily E, Liukkonen E. Treatment of infantile spasms: results of a population-based study with vigabatrin as the first drug for spasms. Epilepsia. 1999;40:950–7.

    Article  PubMed  Google Scholar 

  4. Hancock EC, Osborne JP, Edwards SW. Treatment of infantile spasms. Cochrane Database Syst Rev. 2013;6:CD001770.

    Article  Google Scholar 

  5. Yanagaki S, Oguni H, Hayashi K, Imai K, Funatuka M, Tanaka T, et al. A comparative study of high-dose and low-dose ACTH therapy for West syndrome. Brain Dev. 1999;21:461–7.

    Article  PubMed  CAS  Google Scholar 

  6. Dressler A, Benninger F, Trimmel-Schwahofer P, Gröppel G, Porsche B, Abraham K, et al. Efficacy and tolerability of the ketogenic diet versus high-dose adrenocorticotropic hormone for infantile spasms: a single-center parallel-cohort randomized controlled trial. Epilepsia. 2019;60:441–51.

    Article  PubMed  CAS  Google Scholar 

  7. Specchio N, Pietrafusa N, Ferretti A, De Palma L, Santarone ME, Pepi C, et al. Treatment of infantile spasms: why do we know so little. Expert Rev Neurother. 2020;20:551–66.

    Article  PubMed  CAS  Google Scholar 

  8. Messer R, Knupp KG. Infantile spasms: opportunities to improve care. Semin Neurol. 2020;40:236–45.

    Article  PubMed  Google Scholar 

  9. Berg AT, Berkovic SF, Brodie MJ, Buchhalter J, Cross JH, van Emde BW, et al. Revised terminology and concepts for organization of seizures and epilepsies: report of the ILAE Commission on Classification and Terminology, 2005–2009. Epilepsia. 2010;51:676–85.

    Article  PubMed  Google Scholar 

  10. Scheffer IE, Berkovic S, Capovilla G, Connolly MB, French J, Guilhoto L, et al. ILAE classification of the epilepsies: position paper of the ILAE Commission for Classification and Terminology. Epilepsia. 2017;58:512–21.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Hussain SA, Kwong G, Millichap JJ, Mytinger JR, Ryan N, Matsumoto JH, et al. Hypsarrhythmia assessment exhibits poor interrater reliability: a threat to clinical trial validity. Epilepsia. 2015;56:77–81.

    Article  PubMed  Google Scholar 

  12. Chu YJ, Chang CF, Weng WC, Fan PC, Shieh JS, Lee WT. Electroencephalography complexity in infantile spasms and its association with treatment response. Clin Neurophysiol. 2021;132:480–6.

    Article  PubMed  Google Scholar 

  13. Smith RJ, Hu DK, Shrey DW, Rajaraman R, Hussain SA, Lopour BA. Computational characteristics of interictal EEG as objective markers of epileptic spasms. Epilepsy Res. 2021;176:106704.

    Article  PubMed  Google Scholar 

  14. Tanritanir A, Vieluf S, Jafarpour S, Wang X, Loddenkemper T. EEG biomarkers of repository corticotropin injection treatment. J Clin Neurophysiol. 2021. https://doi.org/10.1097/WNP.0000000000000886.

    Article  PubMed  Google Scholar 

  15. Wang W, Li H, Yan J, Zhang H, Li X, Zheng S, et al. Automatic detection of interictal ripples on scalp EEG to evaluate the effect and prognosis of ACTH therapy in patients with infantile spasms. Epilepsia. 2021;62:2240–51.

    Article  PubMed  CAS  Google Scholar 

  16. Yan L, Li L, Chen J, Wang L, Jiang L, Hu Y. Application of high-frequency oscillations on scalp EEG in infant spasm: a prospective controlled study. Front Hum Neurosci. 2021;15:682011.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Wendling F, Chauvel P, Biraben A, Bartolomei F. From intracerebral EEG signals to brain connectivity: identification of epileptogenic networks in partial epilepsy. Front Syst Neurosci. 2010;4:154.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Mytinger JR, Vidaurre J, Moore-Clingenpeel M, Stanek JR, Albert D. A reliable interictal EEG grading scale for children with infantile spasms: the 2021 BASED score. Epilepsy Res. 2021;173:106631.

    Article  PubMed  Google Scholar 

  19. Acker L, Ha C, Zhou J, Manor B, Giattino CM, Roberts K, et al. Electroencephalogram-based complexity measures as predictors of post-operative neurocognitive dysfunction. Front Syst Neurosci. 2021;15:718769.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Weng WC, Chang CF, Wong LC, Lin JH, Lee WT, Shieh JS. Altered resting-state EEG complexity in children with Tourette syndrome: a preliminary study. Neuropsychology. 2017;31:395–402.

    Article  PubMed  Google Scholar 

  21. Costa M, Goldberger AL, Peng CK. Multiscale entropy analysis of biological signals. Phys Rev E Stat Nonlin Soft Matter Phys. 2005;71:021906.

    Article  PubMed  CAS  Google Scholar 

  22. Li C, Chen Y, Li Y, Wang J, Liu T. Complexity analysis of brain activity in attention-deficit/hyperactivity disorder: a multiscale entropy analysis. Brain Res Bull. 2016;124:12–20.

    Article  PubMed  Google Scholar 

  23. Catarino A, Churches O, Baron-Cohen S, Andrade A, Ring H. A typical EEG complexity in autism spectrum conditions: a multiscale entropy analysis. Clin Neurophysiol. 2011;122:2375–83.

    Article  PubMed  Google Scholar 

  24. Zuberi SM, Wirrell E, Yozawitz E, Wilmshurst JM, Specchio N, Riney K, et al. ILAE classification and definition of epilepsy syndromes with onset in neonates and infants: position statement by the ILAE Task Force on Nosology and Definitions. Epilepsia. 2022. https://doi.org/10.1111/epi.17239.

    Article  PubMed  Google Scholar 

  25. Lux AL, Osborne JP. A proposal for case definitions and outcome measures in studies of infantile spasms and West syndrome: consensus statement of the West Delphi group. Epilepsia. 2004;45:1416–28.

    Article  PubMed  Google Scholar 

  26. Yin J, Lu Q, Yin F, Wang Y, He F, Wu L, et al. Effectiveness and safety of different once-daily doses of adrenocorticotropic hormone for infantile spasms. Paediatr Drugs. 2017;19:357–65.

    Article  PubMed  Google Scholar 

  27. Wan L, Li Z, Sun Y, Yang G, Zhang Y, Shi X, et al. Clinical characteristics and treatment outcomes of pediatric patients with postencephalitic epilepsy characterized by epileptic spasms. Seizure. 2021;84:116–21.

    Article  PubMed  Google Scholar 

  28. Hrachovy RA, Frost JD Jr, Kellaway P. Hypsarrhythmia: variations on the theme. Epilepsia. 1984;25:317–25.

    Article  PubMed  CAS  Google Scholar 

  29. Asadi-Pooya AA, Dlugos D, Skidmore C, Sperling MR. Atlas of electroencephalography, 3rd edition. Epileptic Disord. 2017;19:384.

    Article  PubMed  Google Scholar 

  30. Escudero J, Abásolo D, Hornero R, Espino P, López M. Analysis of electroencephalograms in Alzheimer’s disease patients with multiscale entropy. Physiol Meas. 2006;27:1091–106.

    Article  PubMed  CAS  Google Scholar 

  31. Crespo A, Álvarez D, Gutiérrez-Tobal GC, Vaquerizo-Villar F, Barroso-García V, Alonso-Álvarez ML, et al. Multiscale entropy analysis of unattended oximetric recordings to assist in the screening of paediatric sleep apnoea at home. Entropy. 2017;19:284.

    Article  Google Scholar 

  32. Choi HS, Ko A, Kim SH, Lee ST, Choi JR, Lee JS, et al. Disparate treatment outcomes according to presence of pathogenic mutations in West syndrome. Epilepsia. 2021;62:1656–64.

    Article  PubMed  CAS  Google Scholar 

  33. Allen B, Stacey BC, Bar-Yam Y. Multiscale information theory and the marginal utility of information. Entropy. 2017;19:273.

    Article  Google Scholar 

  34. Siegenfeld AF, Bar-Yam Y, Gershenson C. An introduction to complex systems science and its applications. Complexity. 2020. https://doi.org/10.1155/2020/6105872.

    Article  Google Scholar 

  35. Goldenfeld N, Woese C. Life is physics: evolution as a collective phenomenon far from equilibrium. Annu Rev Condens Matter Phys. 2011;2:375–99.

    Article  CAS  Google Scholar 

  36. Japaridze N, Muthuraman M, Moeller F, Boor R, Anwar AR, Deuschl G, et al. Neuronal networks in west syndrome as revealed by source analysis and renormalized partial directed coherence. Brain Topogr. 2013;26:157–70.

    Article  PubMed  Google Scholar 

  37. Siniatchkin M, van Baalen A, Jacobs J, Moeller F, Moehring J, Boor R, et al. Different neuronal networks are associated with spikes and slow activity in hypsarrhythmia. Epilepsia. 2007;48:2312–21.

    PubMed  Google Scholar 

  38. Chugani HT, Shewmon DA, Sankar R, Chen BC, Phelps ME. Infantile spasms: II. Lenticular nuclei and brain stem activation on positron emission tomography. Ann Neurol. 1992;31:212–9.

    Article  PubMed  CAS  Google Scholar 

  39. Chiron C, Dulac O, Bulteau C, Nuttin C, Depas G, Raynaud C, et al. Study of regional cerebral blood flow in West syndrome. Epilepsia. 1993;34:707–15.

    Article  PubMed  CAS  Google Scholar 

  40. Shrey DW, Kim McManus O, Rajaraman R, Ombao H, Hussain SA, Lopour BA. Strength and stability of EEG functional connectivity predict treatment response in infants with epileptic spasms. Clin Neurophysiol. 2018;129:2137–48.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Weiss SA, Orosz I, Salamon N, Moy S, Wei L, Van’t Klooster MA, et al. Ripples on spikes show increased phase-amplitude coupling in mesial temporal lobe epilepsy seizure-onset zones. Epilepsia. 2016;57:1916–30.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Song I, Orosz I, Chervoneva I, Waldman ZJ, Fried I, Wu C, et al. Bimodal coupling of ripples and slower oscillations during sleep in patients with focal epilepsy. Epilepsia. 2017;58:1972–84.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Nariai H, Matsuzaki N, Juhász C, Nagasawa T, Sood S, Chugani HT, et al. Ictal high-frequency oscillations at 80–200 Hz coupled with delta phase in epileptic spasms. Epilepsia. 2011;52:e130–4.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Nonoda Y, Miyakoshi M, Ojeda A, Makeig S, Juhász C, Sood S, et al. Interictal high-frequency oscillations generated by seizure onset and eloquent areas may be differentially coupled with different slow waves. Clin Neurophysiol. 2016;127:2489–99.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Miyakoshi M, Nariai H, Rajaraman RR, Bernardo D, Shrey DW, Lopour BA, et al. Automated preprocessing and phase-amplitude coupling analysis of scalp EEG discriminates infantile spasms from controls during wakefulness. Epilepsy Res. 2021;178:106809.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

We would like to thank the medical staff at the pediatric department of Chinese PLA Hospital for their assistance with this study.

Funding

This research was partially supported by National Natural Science Foundation of China (Nos. 62171028, 62001026), the Natural Science Foundation of Beijing, China (No. 7222187), the Medical Big Data and Artificial Intelligence Research and Development Project of the Chinese PLA General Hospital (No. 2019MBD-004), the Epilepsy Research Fund of China Association Against Epilepsy (No. CU-B-2021-11), and the Nutrition and Care of Maternal & Child Research Fund Project of Guangzhou Biostime Institute of Nutrition & Care (No. 2021BINCMCF030).

Author information

Authors and Affiliations

Authors

Contributions

WL, ZCT and ZG contributed equally to the manuscript. WL contributed to the conception and design of the study, and wrote the first draft of the manuscript. ZCT wrote the first draft of the manuscript. ZG performed the data analyses, and wrote the first draft of the manuscript. SXY, WJ and ZLP performed the acquisition of data. ZB, CJ and SWB performed the data analyses. YCH and YG contributed to the conception and design of the study. All the authors helped to revise the manuscript regarding important intellectual content. All the authors approved the final version for publication.

Corresponding authors

Correspondence to Chien-Hung Yeh or Guang Yang.

Ethics declarations

Ethical approval

This was a retrospective cohort study, patient identity remained anonymous, and the requirement for informed consent was approved to waive by the Ethics Committee of First Medical Center of PLA General Hospital due to the observational nature of the study (S2020-337-01).

Conflict of interest

No financial or non-financial benefits have been received or will be received from any party related directly or indirectly to the subject of this article. We confirm that we have read the journal’s position on issues involved in ethical publication and affirm that this report is consistent with those guidelines. The authors have no conflict of interest to declare.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file 1 (DOCX 199 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wan, L., Zhang, CT., Zhu, G. et al. Integration of multiscale entropy and BASED scale of electroencephalography after adrenocorticotropic hormone therapy predict relapse of infantile spasms. World J Pediatr 18, 761–770 (2022). https://doi.org/10.1007/s12519-022-00583-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12519-022-00583-9

Keywords

Navigation